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5786 Publications


2021 | Mastersthesis | LibreCat-ID: 45238
N., N. (2021). Model-based Feature Backlog Synchronization for Dual-Track Development Methods.
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2021 | Mastersthesis | LibreCat-ID: 45254
Anonymous, A. (2021). Device-Independent Security Proofs Via Entropy Accumulation.
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2021 | Conference Paper | LibreCat-ID: 26406
Schubert, P., Hermann, B., Bodden, E., & Leer, R. (2021). Into the Woods: Experiences from Building a Dataflow Analysis Framework for C/C++. SCAM ’21: IEEE International Working Conference on Source Code Analysis and Manipulation (Engineering Track).
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2021 | Conference Paper | LibreCat-ID: 26405
Schubert, P., Sattler, F., Schiebel, F., Hermann, B., & Bodden, E. (2021). Modeling the Effects of Global Variables in Data-Flow Analysis for C/C++. 2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM).
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2021 | Mastersthesis | LibreCat-ID: 45788
Bülling, J. (2021). Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump.
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2021 | Mastersthesis | LibreCat-ID: 45787
Mishra, A. (2021). Computational Text Professionalization using Neural Sequence-to-Sequence Models.
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2021 | Conference Paper | LibreCat-ID: 30909
Clausing, L. (2021). ReconOS64: High-Performance Embedded Computing for Industrial Analytics on a Reconfigurable System-on-Chip. Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies. https://doi.org/10.1145/3468044.3468056
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2021 | Conference Paper | LibreCat-ID: 46195
Karp, M., Podobas, A., Jansson, N., Kenter, T., Plessl, C., Schlatter, P., & Markidis, S. (2021). High-Performance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection. 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS). https://doi.org/10.1109/ipdps49936.2021.00116
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2021 | Conference Paper | LibreCat-ID: 30908
Ghasemzadeh Mohammadi, H., Jentzsch, F., Kuschel, M., Arshad, R., Rautmare, S., Manjunatha, S., Platzner, M., Boschmann, A., & Schollbach, D. (2021). FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics. Machine Learning and Principles and Practice of Knowledge Discovery in Databases. https://doi.org/10.1007/978-3-030-93736-2_27
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2021 | Book Chapter | LibreCat-ID: 21587
Alhaddad, S., Förstner, J., Groth, S., Grünewald, D., Grynko, Y., Hannig, F., Kenter, T., Pfreundt, F.-J., Plessl, C., Schotte, M., Steinke, T., Teich, J., Weiser, M., & Wende, F. (2021). HighPerMeshes – A Domain-Specific Language for Numerical Algorithms on Unstructured Grids. In Euro-Par 2020: Parallel Processing Workshops. https://doi.org/10.1007/978-3-030-71593-9_15
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2021 | Book Chapter | LibreCat-ID: 29936
Ramaswami, A., Kenter, T., Kühne, T., & Plessl, C. (2021). Evaluating the Design Space for Offloading 3D FFT Calculations to an FPGA for High-Performance Computing. In Applied Reconfigurable Computing. Architectures, Tools, and Applications. Int. Conf. on Applied Reconfigurable Computing. Architectures, Tools, and Applications. Springer International Publishing. https://doi.org/10.1007/978-3-030-79025-7_21
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2021 | Journal Article | LibreCat-ID: 24788 | OA
Alhaddad, S., Förstner, J., Groth, S., Grünewald, D., Grynko, Y., Hannig, F., Kenter, T., Pfreundt, F., Plessl, C., Schotte, M., Steinke, T., Teich, J., Weiser, M., & Wende, F. (2021). The HighPerMeshes framework for numerical algorithms on unstructured grids. Concurrency and Computation: Practice and Experience, e6616. https://doi.org/10.1002/cpe.6616
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2021 | Journal Article | LibreCat-ID: 46318
Grimme, C., Kerschke, P., Aspar, P., Trautmann, H., Preuss, M., Deutz, A. H., Wang, H., & Emmerich, M. (2021). Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization. Computers & Operations Research, 136, 105489. https://doi.org/10.1016/j.cor.2021.105489
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2021 | Conference Paper | LibreCat-ID: 46311
Aspar, P., Kerschke, P., Steinhoff, V., Trautmann, H., & Grimme, C. (2021). Multi^3: Optimizing Multimodal Single-Objective Continuous Problems in the Multi-Objective Space by Means of Multiobjectivization. In H. et al. Ishibuchi (Ed.), Evolutionary Multi-Criterion Optimization: 11$^th$ International Conference, EMO 2021, Shenzhen, China, March 28–31, 2021, Proceedings (pp. 311–322). Springer. https://doi.org/10.1007/978-3-030-72062-9_25
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2021 | Journal Article | LibreCat-ID: 46317
Coombs, C., Stacey, P., Kawalek, P., Simeonova, B., Becker, J., Bergener, K., Carvalho, J. Á., Fantinato, M., Garmann-Johnsen, N. F., Grimme, C., Stein, A., & Trautmann, H. (2021). What Is It About Humanity That We Can’t Give Away To Intelligent Machines? A European Perspective. International Journal of Information Management, 58. https://doi.org/10.1016/j.ijinfomgt.2021.102311
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2021 | Conference Paper | LibreCat-ID: 21272
Ködding, P., & Dumitrescu, R. (2021). Forschungsfelder für Künstliche Intelligenz in der strategischen Produktplanung. In E. A. Hartmann (Ed.), Digitalisisierung souverän gestalten (pp. 59–73). Springer Vieweg.
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2021 | Conference Paper | LibreCat-ID: 48286
Habernal, I. (2021). When differential privacy meets NLP: The devil is in the detail. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. https://doi.org/10.18653/v1/2021.emnlp-main.114
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2021 | Journal Article | LibreCat-ID: 24456 | OA
Rohlfing, K. J., Cimiano, P., Scharlau, I., Matzner, T., Buhl, H. M., Buschmeier, H., Esposito, E., Grimminger, A., Hammer, B., Haeb-Umbach, R., Horwath, I., Hüllermeier, E., Kern, F., Kopp, S., Thommes, K., Ngonga Ngomo, A.-C., Schulte, C., Wachsmuth, H., Wagner, P., & Wrede, B. (2021). Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems. IEEE Transactions on Cognitive and Developmental Systems, 13(3), 717–728. https://doi.org/10.1109/tcds.2020.3044366
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2021 | Conference Paper | LibreCat-ID: 48853
Bossek, J., Neumann, A., & Neumann, F. (2021). Breeding Diverse Packings for the Knapsack Problem by Means of Diversity-Tailored Evolutionary Algorithms. Proceedings of the Genetic and Evolutionary Computation Conference, 556–564. https://doi.org/10.1145/3449639.3459364
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2021 | Conference Paper | LibreCat-ID: 48855
Bossek, J., Neumann, A., & Neumann, F. (2021). Exact Counting and~Sampling of Optima for the Knapsack Problem. Learning and Intelligent Optimization, 40–54. https://doi.org/10.1007/978-3-030-92121-7_4
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